OpenAI’s DALL-E 2 produces stunning images of almost anything you can imagine

In January 2021, the OpenAI consortium – founded by Elon Musk and Financially supported by Microsoft – announced the most ambitious project to date, DALL-E . machine learning system. This ingenious multimodal AI is capable of generating images (albeit animated ones) based on attributes described by the user – think “a cat made of sushi” or “a picture made of sushi”. X-ray of Capybara sitting in the woods.” On Wednesday, consortium announces next iteration of DALL-E proud higher resolution and lower latency than the original.

a bowl of soup that looks like a monster, knitted from wool

a bowl of soup that looks like a monster, knitted from wool – OpenAI

The first DALL-E (composite of “Dali”, as in the artist, and “WALL-E”, as in the animated Disney character) can create images as well as combine multiple images into a collage, provides different perspectives, and even infers elements of an image – such as shadow effects – from the written description.

“Unlike a 3D rendering engine, whose input must be clearly specified and fully detailed, DALL · E can often ‘fill in the blanks’ when the caption implies that the image must contain a detail. must not be explicitly stated,” the OpenAI team wrote in 2021.

35mm macro film photography of a large family of rats wearing cozy hats by the fireplace

35mm macro film photography of a large family of rats wearing cozy hats by the fireplace – OpenAI

DALL-E was never intended to be a commercial product and thus its capabilities are somewhat limited as the OpenAI team’s focus is on it as a research tool, it is also intentionally limited to avoid a West-esque situation or the system is used to create false information. Its sequel is similarly sheltered with potentially objectionable images pre-removed from the training data and watermarks showing that an AI-generated image is automatically applied. In addition, the system actively prevents users from creating images based on specific names. Sorry, those who are wondering what “Christopher Walken eats churros in the Sistine Chapel” would look like.

DALL-E 2, using OpenAI’s CLIP image recognition system, builds on those imaging capabilities. Users can now select and edit specific areas of an existing image, add or remove elements with their shadows, blend two images into a single collage, and create variations of an existing image. Furthermore, the output image is a 1024px square, up from the 256px avatar the original version generated. OpenAI’s CLIP is designed to view a given image and summarize its content in a way that can be understood by humans. Consortium reversed that process, building an image from its brief, in its work with the new system.

Teddy bears mixed with glittering chemicals make a mad scientist

Teddy bears mixed with glittering chemicals make scientists crazy – OpenAI

“DALL-E 1 just takes our GPT-3 approach from the language and applies it to create an image: we compress the image into a sequence of words, and we just learn to predict what happens next,” said OpenAI research scientist Prafulla Dhariwal Verge.

Unlike the first version that anyone could play on the OpenAI website, this new version is currently only available for testing by tested partners who are limited in what they have. can upload or create with it. Only family-friendly sources may be used and anything related to nudity, profanity, extremist ideology or “major plots or events related to cadastral events great value in progress” were immediately disqualified. Again, apologies to those hoping to create “Donald Trump rides naked Nancy Pelosi, suffering from COVID, riding like a horse through the US Senate on January 6 while performing a Nazi salute. .”

a photo of an astronaut riding a horse

photo of astronaut riding a horse – OpenAI

The group of testers is also currently prohibited from exporting their created works to third-party platforms although OpenAI is considering adding DALL-E 2 capabilities to its API in the future.

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